Algorithm for Constructing Geophysical Anomaly Isosurfaces of Multi-Physical Parameter Combinations
Abstract
In geophysical exploration, the integrated interpretation of multi-physical parameter data is essential for precisely identifying mineral prospecting targets. Composite isosurfaces constitute a critical framework for the visualization and quantitative analysis of such complex data sets. Nevertheless, conventional marching cubes (MC) algorithms encounter significant limitations—such as topological ambiguities, challenges in multi-parameter data fusion, and inadequate adaptability to diverse clipping scenarios—when dealing with combinations of multiple physical property parameters. To address these issues, this paper introduces an enhanced composite marching cubes (CMC) algorithm. The proposed CMC algorithm systematically redefines the 15 isosurface triangulation configurations of the standard MC algorithm and establishes new strategies for combining grid nodes under multi-physical parameter conditions. These improvements not only resolve topological ambiguities and improve computational efficiency but also facilitate the precise generation of composite isosurfaces representing multiple properties. Furthermore, by incorporating blank grid labeling and intersection point screening mechanisms, the algorithm enables arbitrary and repeatable region clipping, thereby accommodating complex terrains, voids, and areas of high uncertainty. Application of this methodology in the Panzhihua region has demonstrated its efficacy in characterizing the coupling of multi-physical parameters and in accurately delineating areas with high mineralization potential